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Journal of Theoretical and Applied Information Technology - Little Lion Scientific | 2024 Cite Score:1.4 | Q4

Journal of Theoretical and Applied Information Technology With Cite Score

Cite Score and Journal Rank of Journal of Theoretical and Applied Information Technology

  • About: The Journal of Theoretical and Applied Information Technology (JTAIT) is a peer-reviewed academic journal focused on both the theoretical aspects and practical applications of information technology. It serves as a platform for disseminating research that advances the understanding of IT concepts, methodologies, and technologies, and explores their practical implementations in various domains. The journal aims to bridge the gap between theoretical research and real-world applications, contributing to the development and advancement of information technology.
  • Objective
    The primary objective of the Journal of Theoretical and Applied Information Technology is to promote the advancement of knowledge in the field of information technology by publishing high-quality research that covers both theoretical foundations and practical applications. JTAIT seeks to facilitate knowledge exchange among researchers, practitioners, and industry professionals, supporting the development of innovative IT solutions and methodologies that address contemporary challenges and opportunities.
  • Topics Covered
    The journal covers a broad range of topics related to information technology, including but not limited to: Information Systems and Technology Software Engineering and Development Network and Cybersecurity Data Science and Analytics Artificial Intelligence and Machine Learning Human-Computer Interaction Information Management and Retrieval IT Infrastructure and Cloud Computing Theoretical Computer Science IT Applications in Business, Healthcare, and Education
  • Interdisciplinary Approach
    The Journal of Theoretical and Applied Information Technology embraces an interdisciplinary approach, welcoming contributions from various fields such as computer science, engineering, information systems, and business. The journal encourages research that integrates theoretical perspectives with practical insights, promoting a comprehensive understanding of how IT can be leveraged to address complex problems and enhance various domains. By fostering collaboration across disciplines, JTAIT aims to advance both theoretical knowledge and practical innovation.
  • Impact and Significance
    The Journal of Theoretical and Applied Information Technology is recognized for its contributions to the field of information technology through its rigorous peer-review process and commitment to publishing high-quality research. The journals focus on both theoretical and applied aspects ensures that its publications are relevant and impactful for researchers, practitioners, and industry professionals. JTAIT provides valuable insights and practical solutions that support the advancement of information technology and its applications in diverse settings.

  • Editor-in-Chief:  Dr. SHAHBAZ GHAYYUR

  • Scope: The Journal of Theoretical and Applied Information Technology (JATIT) is a peer-reviewed scholarly journal that publishes research papers, review articles, and case studies in the field of information technology. It aims to bridge the gap between theoretical research and practical applications, covering a wide range of topics in computer science and information technology.
  • Information Systems and Technology:
    Data Management: Research on database management systems, data warehousing, and data mining techniques.
  • Information Retrieval: Studies on search engines, information filtering, and retrieval algorithms.
  • Enterprise Information Systems: Exploration of systems that support business processes, including ERP, CRM, and SCM systems.
  • Software Engineering:
    Software Development Methodologies: Research on Agile, Waterfall, DevOps, and other software development methodologies.
  • Software Testing and Quality Assurance: Studies on techniques for ensuring software reliability and quality.
  • Software Project Management: Exploration of tools and techniques for managing software development projects.
  • Networking and Communications:
    Network Security: Research on security protocols, cryptography, and network intrusion detection systems.
  • Wireless and Mobile Networks: Studies on mobile ad hoc networks, wireless sensor networks, and next-generation wireless technologies.
  • Internet of Things (IoT): Exploration of IoT architectures, protocols, and applications in various domains.
  • Artificial Intelligence and Machine Learning:
    AI Algorithms and Applications: Research on machine learning algorithms, neural networks, and AI applications in various industries.
  • Natural Language Processing: Studies on language models, speech recognition, and text mining.
  • Computer Vision and Image Processing: Exploration of techniques for image recognition, object detection, and video analysis.
  • Data Science and Big Data Analytics:
    Big Data Technologies: Research on Hadoop, Spark, and other big data frameworks.
  • Data Analytics and Visualization: Studies on data analysis techniques and visualization tools for large datasets.
  • Predictive Analytics: Exploration of machine learning and statistical methods for predictive modeling.
  • Cybersecurity and Privacy:
    Information Security Management: Research on strategies and frameworks for managing information security risks.
  • Cryptography: Studies on encryption techniques, secure communication protocols, and blockchain technology.
  • Privacy-Preserving Technologies: Exploration of methods to ensure data privacy in cloud computing and online transactions.
  • Human-Computer Interaction:
    User Interface Design: Research on designing intuitive and accessible user interfaces.
  • Usability Studies: Studies on evaluating and improving the usability of software systems.
  • Interactive Systems: Exploration of systems that enhance user interaction through technologies like virtual reality and augmented reality.
  • Emerging Technologies:
    Blockchain and Cryptocurrency: Research on blockchain applications, consensus algorithms, and the impact of cryptocurrencies.
  • Cloud Computing: Studies on cloud architectures, virtualization, and cloud security.
  • Quantum Computing: Exploration of quantum algorithms, quantum cryptography, and potential applications of quantum computing.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  18173195

    Electronic ISSN:   19928645

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Computer Science, Computer Science (miscellaneous), Mathematics, Theoretical Computer Science

  • Publication Frequency:  

  • H Index:  42

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  

    Q4:  Computer Science (miscellaneous)

  • Cite Score:  1.4

  • SNIP:  0.258

  • Journal Rank(SJR):  0.168